Objective: To explore factors affecting postoperative rebleeding in patients with spontaneous supratentorial intracerebral hemorrhage (SSICH).

Methods: We retrospectively analyzed data from 724 patients with SSICH treated at Renmin Hospital of Wuhan University from December 2018 to October 2021. Finally, 294 people were eligible to be included in this study. Hematoma locations were classified as basal ganglia, thalamus, subcortex, or intraventricular. Surgery was categorized as neuroendoscopic surgery, burr hole (stereotactic drilling and drainage), or open craniotomy. Postoperative rebleeding was recorded. The incidence, risk factors, and prognosis of postoperative rebleeding were evaluated.

Results: All procedures were successfully completed. Postoperative rebleeding occurred in 57 patients (19.83%, 57/294). Univariate logistic regression analysis identified these risk factors for rebleeding: admission Glasgow Coma Scale (GCS) score, irregular hematoma morphology by preoperative Computed Tomography (CT), postoperative hypertension, hematoma location, surgical method (<0.05), and preoperative hematoma volume (<0.1). Multivariate logistic regression analysis confirmed admission GCS score, irregular hematoma morphology by preoperative CT, postoperative hypertension, hematoma location, and surgical method as significant risk factors (<0.05). Burr hole surgery and basal ganglia hematomas were associated with increased odds of rebleeding, and the mortality rates in patients with rebleeding versus no rebleeding were 7.02% versus 0.84%.

Conclusions: Neuroendoscopic surgery, craniotomy, and burr hole are all effective for treating SSICH, but burr hole surgery was an important risk factor for rebleeding and an adverse outcome. Admission GCS score, irregular hematoma morphology, blood pressure control, hematoma location, and surgical method are affected the risk of postoperative rebleeding. 3D Slicer-assisted neuroendoscopic surgery may be the most effective treatment for many patients with SSICH.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492089PMC

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